skewed binary sequence vs skewed sequence

Both phrases are correct, but they convey slightly different meanings. "Skewed binary sequence" specifically refers to a sequence that is biased or distorted in a binary context, while "skewed sequence" is a more general term that can apply to any type of sequence that is not evenly distributed.

Last updated: March 17, 2024 • 636 views

skewed binary sequence

This phrase is correct and commonly used in the context of binary sequences that are biased or distorted.

This phrase is used to describe a sequence of binary data that is not evenly distributed or has a bias towards certain values.

Examples:

The algorithm generates a skewed binary sequence with a bias towards 1s.

Alternatives:

biased binary sequence
distorted binary sequence

skewed sequence

This phrase is correct and can be used to describe any type of sequence that is not evenly distributed.

This phrase is more general and can refer to sequences in various contexts, not limited to binary data.

Examples:

The survey results show a skewed sequence of responses.

Show examples from the web [+]

Nov 21, 2005 ... Skewed sequence motifs such as RAG are widespread in prokaryotic genomes, yet their functions remain largely undetermined (13, 14). Here ...
May 23, 2011 ... Instead of the lognormal continuous values obtained in microarray data, sequence data consist of non-negative, highly skewed sequence ...
May 23, 2011 ... Instead of the lognormal continuous values obtained in microarray data, sequence data consist of non-negative, highly skewed sequence ...
Jan 23, 2014 ... However, these data consist of non-negative, highly skewed sequence counts with a large proportion of zeros. Zero-inflated models are useful ...

Alternatives:

biased sequence
uneven sequence

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skewed binary sequence vs skewed sequence